This program enables you to simulate correlated multivariate binary data according to the algorithm of Emrich and Piedmonte (1991). The program is from Wicklin (2013). The attached file is RandMVBinary.zip, which contains two files:
Note that you should %INCLUDE the RandMVBinary.sas file before calling the IML procedure. Within the procedure, use the LOAD statement to load the RANDMVBINARY function before you call it.
The RANDMVBINARY function uses features of SAS/IML 12.1, which was released as part of SAS 9.3m2. If you are running an earlier version of SAS, call the function RANDMVBINARY93, which has the same syntax but is slightly less efficient.
Emrich, L.J. and Piedmonte, M. R., 1991, "A Method for Generating High-Dimensional Multivariate Binary Variables," The American Statistician, 45, p. 302--304
Wicklin, R., 2013, Simulating Data with SAS, SAS Institute Inc., Cary NC, pp. 154--157.
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.
Data Literacy is for all, even absolute beginners. Jump on board with this free e-learning and boost your career prospects.